Published Paper Details:

One's face is an essential physical feature that gives everyone their own identity. The face recognition system can be used by using the features of the face as a biometric. Any organization's most difficult responsibility is recording attendance. Huge amount of time is often wasted to record the attendance. Under the conventional attendance system, teachers call on the students, and their attendance is recorded, accordingly. These conventional methods are laborious and time-consuming. In this project, we suggest Facial Recognition Method through which the photo of the entire class can be taken and then the attendance can be marked. This model combines an input image-capturing camera, an algorithm for facial recognition from input images, facial encoding, and identification, and finally attendance tracking in a CSV file for the required office. The database is created by training the system with the faces of the authorized students of every class and then their facial encodings are taken and then the model is trained. The library of Python is trained by HOG algorithm and SVM Classifier for identifying faces.